Responsibilities
- Design and implement functional/performance tests for CUDA products, like driver and library.
- Automate CUDA tests, design test plans and integrate into automation testing infrastructure.
- Triage test results, root cause test failures or performance drops, and drive through bugs to fix.
- Develop scripts/tools and optimize workflow to improve efficiency and productivity.
Requirements
- MS or PhD degree from a leading university in computer science or a related field.
- At least 3 years of relevant professional experience.
- Excellent QA sense, knowledge, and experience in software testing.
- Rich experience in test case development, tests automation and failure analysis.
- Proficient programming and debugging skills in C++ and Python.
- Comprehensive knowledge of Linux and Windows operating systems.
- Developer background who has experience of using AI tools to automate and develop test cases, fix product bugs, develop QA end-to-end workflow.
Nice to Have
- Excellent English communication and collaboration skills.
- Deep understanding of CUDA, HPC, Gcov, VectorCAST, Coverity.
